Instructions to use GraydientPlatformAPI/raffaellox with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/raffaellox with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/raffaellox", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- f0c88238f13041718bd2ad56577a0357ddac1020ec9d3f987c9988ad6d0f06b5
- Size of remote file:
- 5.14 GB
- SHA256:
- 4dbcf1c2484046e38b1287bf7024b05bdc1ce98833b6be205c102008df55a0ce
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